Digital Filtering — An Interactive Computer Program for the Design and Simulation of a Finite Impulse Response (F.I.R.) Digital Filter

1986 ◽  
Vol 23 (4) ◽  
pp. 339-348 ◽  
Author(s):  
I. M. Longair
Keyword(s):  
Computer Program ◽  
Impulse Response ◽  
Digital Filter ◽  
Finite Impulse Response ◽  
Digital Filtering ◽  
Interactive Computer Program ◽  
Electronic Engineering ◽  
Low Pass ◽  
Computer Based ◽  
Fir Digital Filter

Digital filtering techniques have become an important part of the curriculum of electronic engineering courses. This paper details a computer-based teaching aid, for the popular BBC model B microcomputer, which may be used to design and display the characteristics of a low-pass finite impulse response (FIR) digital filter.

A Gait Analysis Subsystem for Smoothing and Differentiation of Human Motion Data

1979 ◽  
Vol 101 (3) ◽  
pp. 205-212 ◽  
Author(s):  
M. D. Lesh ◽  
J. M. Mansour ◽  
S. R. Simon
Keyword(s):  
Error Analysis ◽  
Gait Analysis ◽  
Impulse Response ◽  
Finite Impulse Response ◽  
Cutoff Frequency ◽  
Statistical Error ◽  
Digital Filtering ◽  
Human Motion ◽  
Motion Data ◽  
Computer Based

A computer-based subsystem has been implemented for the smoothing and differentiation of human motion data. Nonrecursive finite impulse response digital filtering has been employed for this purpose. Filter cutoff frequency was determined using a statistical error analysis. The method of data differentiation used here is compared to other methods presented in the literature.

scholarly journals M-ary phase-shift keying using finite impulse response filter based on window function method

2021 ◽  
Vol 11 (1) ◽  
pp. 451
Author(s):  
Raed S. M. Daraghma
Keyword(s):  
Impulse Response ◽  
Digital Filter ◽  
Finite Impulse Response ◽  
Design Procedure ◽  
Finite Impulse Response Filter ◽  
Phase Shift Keying ◽  
Shift Keying ◽  
Fir Digital Filter ◽  
Impulse Response Filter ◽  
Better Than

Digital filters are vastly utilized in the area of communication. A perfect digital filter efficiency is significant and hence to design a digital finite impulse response filter (FIR) favorable all the wanted situations is necessary. In this paper, a new proposed FIR digital filter designed, the fineness of the submitted filter is tested in terms of BER and then matched with another window, namely Hamming, Hanning, and Blackman. The design procedure done in the MATLAB software. It is concluded that the Blackman window is the best window to design the FIR digital filter, because it is bit error rate is better than another window.

Sign in / Sign up

Export Citation Format

Share Document